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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 3-RES-JB
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    Explanations

    references to individuals named Jordan

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the name "Jordan," likely in the context of sports figures

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ancial
    -0.80
    ntil
    -0.77
    ILY
    -0.70
     depreciation
    -0.68
    Hispanic
    -0.67
     midterm
    -0.67
    ULAR
    -0.67
    erest
    -0.66
    teenth
    -0.66
     Debor
    -0.65
    POSITIVE LOGITS
     Jordan
    1.23
    Jordan
    1.01
     Peterson
    0.90
    olson
    0.87
    sey
    0.85
    stra
    0.81
     Brand
    0.80
     Amon
    0.79
     Henderson
    0.79
     Taylor
    0.78
    Activations Density 0.008%

    No Known Activations